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4D Machine Installation Using Navisworks

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Description

The presentation will cover the 4D management of hundreds of machine installations, each with various stages of preparation work required. Previously the workflow involved comparing 2D AutoCAD layouts to a Microsoft Excel spreadsheet. First, we'll define the prerequisites of having a Factory Design Utilities layout, where the machines are individually laid out in 3D. The layout will then be imported into Navisworks software and prepared for the TimeLiner function. Then, we'll export a schedule as a .CSV with all the necessary details. Next, we'll import the file into Navisworks for the TimeLiner function. We'll show the process of making links, and explain all other necessary setup parameters. We'll run the sim, and export the viewport into a .PPT for distribution. In closing, you'll see an update to the original layout which then reflects in the end results. And we'll even include a change in schedule, to emulate logistical issues. The workflow helps with collaborative agile planning.

Key Learnings

  • Gain an overview of pain points when using traditional methods, like spreadsheets and simple 2D layouts.
  • See an evaluation of the integration into Factory Design Utilities, and its advantages.
  • Discover the value of effective 4D communication to the field.
  • Discover the future of using Clash Detective with the use of motion for rigging pain points.

Speakers

  • Avatar for Joe Kawka
    Joe Kawka
    Advanced Technology Engineer
  • Tomotoshi Jo
    Tomotoshi Jo, MBA Subject Matter Expert – PE Toyota Motor North America Tomotoshi Jo has a background in information systems, BIM and project management. He supports Toyota Production Engineering (PE) team members who use Autodesk products such as ACC, AutoCAD, Inventor, Navisworks, Vault, and more. He also helps different PE departments build integration factory models for their new equipment installation project and new plant construction project. Tomotoshi graduated with his bachelor's degree in automation engineering from Shanghai University. He also has an MBA focusing on project management from the University of California, Riverside.
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Transcript

JOE KAWKA: Hello. My name is Joe Kawka. I'm a digital engineer at Toyota Motor North America. And today I'm going over how to make a 4D machine installation using Navisworks. And essentially, we're building an installation. And this comes about because our installations are very large and hard to handle. So Navisworks is a great tool to utilize to really organize everything. And this is the Safe Harbor Statement.

So before we jump into it, what I really want to overview is what was our previous method for these really large volume installations. There are many instances where we're handling hundreds of machines at a time, not just in powertrain, which is the division I'm in, but also body weld, stamping, paint, and so on-- any of our divisions, really. And our methods can vary from department to department, but this is my method that I am implementing with powertrain specifically, and hope to share to you guys also.

And so, previously, we would have to cross reference many, many documents, many documents. So 2D layouts often from an uncontrolled drive, we would have to print them out. We would need large screens to review them. We would have very large meetings to go over them, and really get eyes on the presentation and the installation itself.

But also, it was very difficult to find specific assets and their locations based on our schedule. And also, our schedule, we have a proprietary in-house built scheduler that we've made. And it does get very long. I've seen schedules that span the very wall from ceiling to floor. And it's very large, and convoluted, and hard to follow. But that's something we have to deal with.

And also, in addition to that, every machine has many phases to its installation. Not only are we tracking it from arrival, but sending it down, hooking it up to electric, any other utilities that it needs, all the set, the adjustments, and, finally, hand over to whoever needs the machine. And also, there are many different types of assets that we need to manage within it. So not just machines, but stations, conveyors, AGVs, and so on.

And lastly, we have specification drawings that are basically very detailed drawings of each machine that we get from our vendors. And when we're referencing them, where it's very difficult to read, just because of the nature of there's a lot of detail about this machine that we definitely need, but not necessarily for the installation. And we only really reference it when the areas get tight, but that really relies on the expertise of our team members to know what areas are tight. And many times, just because of human error, that could be missed fairly easily.

And so with that in mind, all this cross-referencing from one document to another and having physical copies going from one to the other, there are many opportunities for many mistakes. And every mistake, it comes at a cost. Field orders are costly in both time and money. They can set back our installation timing. That sets back a whole cascade of other processes down the line. And we definitely don't want to do that.

Also, if we do want to try to pull up that activity and make sure that we're doing our due diligence of cross-referencing everything, that, too, is going to take a lot of the engineers' time to review, to have meetings, and just thinking about it. It's a lot. And by nature of our processes, because we have so many machines in a row, a small issue can spiral out of control very quickly. For instance, if we need to move a machine because we've realized that one of our columns are off by a few hundred millimeters, then there is a very good potential that every machine that's linked to it, which can be up to 20 or 30 machines in a row, they would also need to move relative to that one machine. And then in addition to that, utilities have to move. And as you can see, as you could think, it cascades. It exponentially grows, it seems.

And also, I do want to point out that time to cross reference all three forms of the document can take weeks. If we really want to make sure we don't have any mistakes, it's very time consuming. And a lot of manual effort has to go into it to make sure that actually happens correctly.

And so we have these issues. We've had these issues. So what's the solution? How do we reduce these errors. How do we reduce the time to reference from one document to another document? How do we get from the 2D and our schedule and the machine itself? And how do we combine those all together? And that's where Navisworks can really thrive. And that's where my solution really came into fruition for my team.

To link it all together, I would like to start with the factory design utilities. So to link it in with the bottom area here and the 3D assets, factory design utilities is going to be the best tool to have that flexibility to work both in 2D and 3D layouts, where you have your old school guys that love their 2D layouts, and then 3D layouts that are really encompassing all of the information that you need, especially when it comes to rigging and installation.

From there, the scheduler, we have our own scheduler. And we've kind of customized our output as a CSV. But there are many project scheduling softwares out there that do export in CSV. And you'll see later on that Navisworks will be able to handle these various CSV files and formats.

And then, lastly, I like to point out how I'm linking it all together. Both factory design utilities and scheduler feed into the simulation. And that's Navisworks. Navisworks, within there, we would be using TimeLiner, Animator, Clash Detective, all these functions that are all included in there. And lastly, Navisworks would be able to either report it out, or have our own internal way of reporting out that you guys might like also.

And so to start with the baseline, we needed to create these 3D asset libraries. And the best practice is to have it all in the Vault, which it can be easily referenced especially in Inventor, and also well controlled, which is a big downfall of a shared drive. And also, with creating the FDU, or Factory Design Utilities, like I mentioned before, you get the best of both worlds. You have the lightweightness of the 2D layouts in AutoCAD. And then you have Inventor and 3D. And you can really fine tune all your layouts. In addition, it's linked directly to the Navisworks simulation model, meaning any 2D updates you make, it can reflect immediately, or almost immediately, to the Navisworks file. So there is no confusion about if this is the latest one or not.

And lastly, the schedule, mostly matching the categories within Navisworks TimeLiner. And that's the start date, end date, all your different categories of what kind of phase your machine is in, so setting, adjusting, turning on, what have you. Those can all be within TimeLiner.

And so now we have our baseline. But how do we combine our schedule, our CSV file with Navisworks? And I'll go into a more technical dive into how that's done exactly. So adding in the CSV file into TimeLiner, you would go to Data Sources in the TimeLiner window. Hit Add. Select the CSV, and a pop-up will show up with Field Selector.

And from there, with your CSV, you're going to match your columns in the Navisworks with your external fields. So in your CSV file, you'll have columns of task type, external ID. You can see here actual start date, actual end date. And that's going to line up directly with, again, the Navisworks task type synchronization ID, actual start date, actual end date. So the diction might be a little bit different, but that's not an issue, as long as you create these links appropriately.

And from there, we're going to load or refresh the newly added CSV, or refresh if you already have one in there, by quite simply going into Refresh from Data Source, Rebuild Task Hierarchy, OK, and that's for the first time. For anything new, you could use Synchronize. So we'll say your project schedule is updating daily, and you need to just run these simulations every day. It's as quick as updating the CSV in this Navisworks file, and then rerunning your simulation. And you're good to go. You're good to start sharing it with people.

And as you can see, we're retrieving the data from the CSV for the columns that we specified in the last slide. And then we're exporting these sets. And what that does, it creates all these sets so that we can start linking the individual assets to the sets or the assets that we have in our CSV, just helping us with creating that connection really.

And so we're linking the machines to sets. You're going to need both the selection tree and the sets window open. You can go in the View tab, Windows, and just make sure those two are checked. And in the topmost level of the machine, so meaning in the tree here, just make sure that it's not expanded. Just pick the machine that you want in the very top. And select that machine, pan over to the set portion, right-click on the appropriate asset that it's representing, and then click Update. And that creates that link from the 3D model to the sets.

And then you're going to have to repeat this. Thankfully, this is only needed to be done once when you set it up. Every time you update the simulation with the CSV, you will not need to recreate these links. But unfortunately, you do have to make these links for every machine to start out.

And then, like I kind of mentioned before, we exported the sets out of the TimeLiner, but now we're going to bring it back into the TimeLiner and create that link again. But this time, we're going to use an auto-attach rule. So that really automates things and speeds things up as far as the setup. Again, you don't need to do it after this is already set up. But you can see here, Auto-Attach using Rules, Create New Rule, Attach Items to Task. Automatically, when you click on this number three portion, number four will automatically pop up.

But this diction might be a little bit different. In my case, items came up first, and so I had to change it to selection sets. From there, OK. Make sure the new rule is checked. And then Apply Rules. From there, all the connections should be made immediately.

And once that's done, you can add in each event. So in my case, we have different acronyms for different phases of the machines, but pretty straightforward-- construction, demolished, temporary already in there. But you can add as many as you want as far as setting in adjust, power on, or hand over.

And so this is where you can really configure what the visual is going to be of each machine in both color and transparency for each phase that the machine will pass through. And we'll see an example of this later on.

And then, lastly, when we are refreshing, like I mentioned before, with the CSV, you can go to Data Sources tab. But instead, this time, choose Synchronize. And that's after all of this new data that we've linked together. Synchronize will ensure that we're moving forward with all the right data in the right spots, really finalizing those links.

So that's concluding the TimeLiner portion of it. And now like, how do we make an animation? We have this machine that's sitting in our yard, in this tent, and we have our riggers ready to go. But we want to make sure that these machines are able to fit through our doors, which seems to be a big problem with many, many projects. And how do we incorporate animation into this TimeLiner? And so how do we move it in Navisworks?

And so to start off, we will add a scene. Obviously, you have to open up the Animator tab. And then it's pretty straightforward. We will press the green plus sign and add a scene. Right-click on the newly created scene, and go to Add Animation Set. And from there, you can add whatever asset that you would like to. So that's just setting up the animation for it to really specify what you want to do with it.

And so now that we've added the scene, we can add the machine. So we'll select the machine that we want to animate from the Sets tab. So to do that, we'll right-click on the camera scene. We'll hit the camera. Or hint, the camera is not needed, but can be useful to follow a particular path.

So what I like to do, personally, is to not have a camera. And that allows me to really adjust my views on the layout, and really drill in into an area if I need to. But a camera can be useful if you need to follow a particular machine. And this is where you would set it up. And you would set it up the same way with viewport to viewport, as you would a machine. And we'll get into that in a second here. But anyways, you could either choose from current selection or from current search or selection set.

So when we have our machine set, you can see there's a row. In our case, it's a JTech tote carrying machine. And there are no diamonds, meaning there is no snapshot of where it's supposed to be. And we also want to make sure, just to start, that it is the active one. So we've selected it.

And then we want to put either-- it's weird. It's more up to personal preference, if you want to start at your set position, or if you want to end at your set position. Personally, it makes sense to me to have your machine set at your end position. / you can put an arbitrary number. In this case, we're putting in 10 seconds. And we're setting the position at that time and capturing that key frame. And the Save button to save the machine at the set position at 10 seconds, meaning when the animator gets to 10 seconds, the machine will be in its final resting place.

I think another key note is once we bring this animator into the TimeLiner, the span of time, how many seconds you have this machine moving from one spot to another, is almost arbitrary. So there is no need to really focus on how much time, how fast does this machine travel through our facility to get to its final resting place. Again, like I said, when it's at the resting place or the final set place at 10 seconds, capture key frame, and a diamond will appear on the set's row at the time specified in this case.

And so now to move it, there is a move icon, a rotate, and a scale. In my case, I'm never going to use the scale, but you never know, but mostly, translate and rotate. So the sequence that I use is adjusting the time of the animator. You'll see the vertical line move to whatever time you specify. I think it's the black line.

And then you would select either translate or rotate. And you would move the machine using the gimbal, I believe, is what they call it. And then once that is in a position that you would like, then you capture the key frame. And so you would repeat this over and over until you're satisfied with the machine's path, if you would. There's also fine-- once you select on the translator or the rotating options, you can fine tune with however much accuracy you want to move the machine, or put in a numerical value into where you need.

And then, so once our-- so now we have our TimeLiner done. And now we have our animation done. So how do we bring those two together? And that's linking the animation per asset here. So back in the Timeline tab, we need to right-click on the-- I'm sorry-- we need to select the column dropdown, and then extend. And this is because the default setting for the TimeLiner is to hide the specific column that we need to activate.

So once that's extended, we can scroll over to Animation and select the specific animation associated with the asset, meaning-- I would suggest labeling a lot better than I have, where you have your asset number and your animation number match, or at least know the linkage between those two. And this is where I actually create that linkage.

And then, also, like I mentioned before, the animation behavior, scaling it goes from actual start to actual end. And it adjusts the amount of time it takes for that machine to travel that whole animation. If you do want it to be more proportional, you have the option to. But I find it more difficult than helpful.

And so now we have our TimeLiner. That represents a schedule. We have our animation and our layout. That represents what are we physically going to do. And now we need to solve like our crashes. These are money pits. Are we going to run into utilities that we are trying to install ahead of time? Are we going to run into other machines that we're-- because we're delayed on a particular machine? So how do we detect these crashes in Navisworks?

And the solution is pretty straightforward. If you've ever used Clash Detective before, it's as simple as adding in the link to TimeLiner. And we'll go into TimeLiner-- or I'm sorry-- we'll go into Clash Detective tab, Settings, Link. Go to the dropdown, and select TimeLiner. I think something to really note, that I may have needed to restart many simulations on is that the default step time is 0.1 of a second, meaning it will stop the simulation at 0.1 of a second, do all its Clash Detective stuff in the background, and then move another 0.1 of a second, and then do it again.

And that is unfathomable of how long it would take for our projects, because we're spending months. So I suggest bumping it up by many timescales. I think either by hours, days-- or hours, minutes, probably not too large, just to think about the installation paths and making sure that you're catching most, if not all, of your collisions. Just a warning.

And then, so now with Clash Detective, obviously, it spits out all the results, which is great. But now we have a kind of a separation of, what are the static clashes by design of our layout? What are the issues that we can fix, that we need to fix, as far as like moving machines around? Or is it something that's dynamic, where the machines are moving and they're clashing into each other as they're moving, but in their final resting spot they're just fine?

So to sort through those two things, you would go to in the Results tab the Events, and Choose Columns, and Events is checked. The animated clashes will have an event tied to the name. And it's the same name as the TimeLiner task. And then the static clashes or the clashes that are just naturally there from the layout will be blank under that column. And you can see, in this case, this is two moving machines running into each other. And it's showing that it's happening during an event.

And so now we have all this great information. We have our 3D layout. We have our schedule. We have those combined. We have our animation. We have our clashes. We have those combined, and we have this nice simulation with all these issues ready to be resolved.

But how do we tell people that we found all of these? Or even, what's our plan from day to day? Because we're going months with hundreds of machines. And every day, we're either installing a machine. We're adjusting 10 machines. We're powering on 20 other machines. How do we make sure that everybody's on schedule in a way that is irrefutable, that nobody can mess up? Like, I thought I was working on that machine, and not the one next to it. And this is, how do we collaborate? How do we get that information out there?

Luckily, TimeLiner has an export of pictures. And that's what we use internally to this day. And once we are done simulating in the TimeLiner, and this is more focused solely for the installation, less so for the clashes, but still it could be used. But once we get the simulation of the TimeLiner done, we're going to export a picture of the layout per day. And we're spinning it through our whole installation. And you can see our installations are 141 days. And we're just specifying different views that we want to see. And you'll see an example in a minute here.

Also, exporting animation in TimeLiner is a possibility. So you can see the machine's actually moving. And it's, again, you do frames per second. I believe you do an MP4 video also. And it will export out.

In our case, we have made a PowerPoint macro, essentially AddInsInstaller.vbs, our and then a save images PPAM file. I can probably get some more information if needed. But long story short, what it does, it takes all of the images that Navisworks has spit out and overlays it into a PowerPoint that anybody and everybody can open up, that most people can see, I would hope. And you can see every day what are the changes, what machines are in what state, and so on.

So this is an example, not an actual case, but this is something that we had outputted to our team to aid in installation. So this is a great tool to really communicate out to the field to a mass amount of people, indicating I want these specific machines to be in adjustment on 12/2/2022. Or it gives another opportunity for people to be prepared, like, OK, this machine in the middle of all these others that are further advanced, this is still in the power on phase. We need to adjust our schedule accordingly to bring everybody up at the same time. So maybe that's a-- it's a good visual and quick representation and communication out to many experts, many people that can raise their hand, bring up issues as needed, or whatnot.

And then, as I mentioned before, the TimeLiner is able to export videos. In this case, you can see that the camera is changing as the animation goes along. And this is a part of the following, the specific machinery capability that you can bring in if you need. In this case, we're able to identify clearly this box is not able to fit through the front doors.

But the rest of it is able to transport just fine. So maybe we just need to figure out a workaround and rigging to get it through the doors in the first place. And this is an example of being able to identify issues before you have millions of dollars of machines sitting on the ground, waiting for it to be installed, or brought into the building with inclement weather.

So lastly, Navisworks naturally does have an output of clash reports. So this is very helpful when it comes to resolving issues, both in installation and the layout itself. You can see, in this case, we have 196. And that could have been 196 field orders that have now been identified before even a machine has showed up at our facility. And we're able to measure these preemptively, saving us lots of headache and cost. I think it's a very useful tool that can show both of the aspects of the installation and the final version itself.

And I believe that is it. Thank you for listening in. I hope you have learned something new. Feel free to reach out to me with any questions. I'd be more than happy to help. Anything else? Have a great day. Thank you.

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We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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